Skip to main content
SpringerLink
Log in

Künstliche Intelligenz in Logistik, Lieferkette und Inventar Management

  • Chapter
  • First Online:
Künstliche Intelligenz in der Praxis

  • 25k Accesses

Zusammenfassung

Auch wenn in vielen Industrien und Organisationen das Marketing nach außen im Vordergrund steht: Wenn es um den Erfolg oder Misserfolg geht, besonders im Einzelhandel, können die Strukturen hinter den Kulissen – Logistik, Supply Chains sowie Verwaltung und Management des Lagers – ein Unternehmen in die Knie zwingen oder zum strahlenden Sieger machen.

This is a preview of subscription content, log in via an institution to check access.

Access this chapter

Log in via an institution
Chapter
USD 29.95
Price excludes VAT (USA)
  • Available as PDF
  • Read on any device
  • Instant download
  • Own it forever
eBook
USD 34.99
Price excludes VAT (USA)
  • Available as EPUB and PDF
  • Read on any device
  • Instant download
  • Own it forever
Softcover Book
USD 44.99
Price excludes VAT (USA)
  • Compact, lightweight edition
  • Dispatched in 3 to 5 business days
  • Free shipping worldwide - see info

Tax calculation will be finalised at checkout

Purchases are for personal use only

Institutional subscriptions

Literatur

  1. Khan Academy. (2013). https://www.khanacademy.org/college-careers-more/entrepreneurship2/interviews-entrepreneurs/copy-of-khan-academy-living-room-chats/v/elon-musk. Zugegriffen:09. Juni 2020.

  2. McKinsey & Company, Inc. Smartening up with Artificial Intelligence (AI) -What’s in it for Germany and its industrial sector? https://www.mckinsey.com/~/media/McKinsey/Industries/Semiconductors/Our%20Insights/Smartening%20up%20with%20artificial%20intelligence/Smartening-up-with-artificial-intelligence.ashx%20str%209. Zugegriffen: 09. Juni 2020.

  3. Karlinsky, N. (05.06.2019). How artificial intelligence helps Amazon deliver. https://blog.aboutamazon.com/innovation/how-artificial-intelligence-helps-amazon-deliver. Zugegriffen: 09. Juni 2020.

  4. Spiegel, J. et al. (24.08.2012). Method and system for anticipatory package shipping. https://pdfpiw.uspto.gov/.piw?Docid=08615473&homeurl=http%3A%2F%2Fpatft.uspto.gov%2Fnetacgi%2Fnph-Parser%3FSect1%3DPTO2%2526Sect2%3DHITOFF%2526p%3D1%2526u%3D%25252Fnetahtml%25252FPTO%25252Fsearch-bool.html. Zugegriffen: 09. Juni 2020.

  5. Seward, C. (13.12.2015). Optimizing warehouse operations with machine learning on GPUs. https://devblogs.nvidia.com/optimizing-warehouse-operations-machine-learning-gpus/. Zugegriffen: 09. Juni 2020.

  6. Bansal, M., Krizhevsky, A., & Ogale, A. (07.12.2018). ChauffeurNet: Learning to drive by imitating the best and synthesizing the worst, https://arxiv.org/abs/1812.03079. Zugegriffen: 09. Juni 2020.

Download references

Author information

Authors and Affiliations

  1. Bochum, Deutschland

    Phil Wennker

Authors
  1. Phil Wennker
    View author publications

    You can also search for this author in PubMed Google Scholar

Corresponding author

Correspondence to Phil Wennker .

Rights and permissions

Reprints and permissions

Copyright information

© 2020 Springer Fachmedien Wiesbaden GmbH, ein Teil von Springer Nature

About this chapter

Check for updates. Verify currency and authenticity via CrossMark

Cite this chapter

Wennker, P. (2020). Künstliche Intelligenz in Logistik, Lieferkette und Inventar Management. In: Künstliche Intelligenz in der Praxis. Springer Gabler, Wiesbaden. https://doi.org/10.1007/978-3-658-30480-5_8

Download citation

  • DOI: https://doi.org/10.1007/978-3-658-30480-5_8

  • Published:

  • Publisher Name: Springer Gabler, Wiesbaden

  • Print ISBN: 978-3-658-30479-9

  • Online ISBN: 978-3-658-30480-5

  • eBook Packages: Business and Economics (German Language)

Publish with us

Policies and ethics

Search

Navigation